SOTAVerified

Age And Gender Classification

Age and gender classification is a dual-task of identifying the age and gender of a person from an image or video.

( Image credit: Multi-Expert Gender Classification on Age Group by Integrating Deep Neural Networks )

Papers

Showing 110 of 34 papers

TitleStatusHype
BN-AuthProf: Benchmarking Machine Learning for Bangla Author Profiling on Social Media TextsCode0
A Hybrid Transformer-Sequencer approach for Age and Gender classification from in-wild facial images0
Beyond Specialization: Assessing the Capabilities of MLLMs in Age and Gender EstimationCode3
MiVOLO: Multi-input Transformer for Age and Gender EstimationCode2
Moving Window Regression: A Novel Approach to Ordinal RegressionCode1
Age and Gender Classification with Small Scale CNN0
Dynamic Adaptive Spatio-temporal Graph Convolution for fMRI ModellingCode1
Generalizing MLPs With Dropouts, Batch Normalization, and Skip ConnectionsCode1
Benchmarking Bias Mitigation Algorithms in Representation Learning through Fairness MetricsCode1
Towards Measuring Fairness in AI: the Casual Conversations Dataset0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1MiVOLO-V2Accuracy (5-fold)97.39Unverified
2ViT-hSeqAccuracy (5-fold)96.56Unverified
3MiVOLO-D1Accuracy (5-fold)96.51Unverified
4RetinaFace + ArcFace + MLP + Skip connectionsAccuracy (5-fold)90.66Unverified
5CPG (single crop, pytorch)Accuracy (5-fold)89.66Unverified
6PAENet (single crop, tensorflow)Accuracy (5-fold)89.08Unverified
7Levi_Hassner CNN ( over-sample, caffe)Accuracy (5-fold)86.8Unverified
8Levi_Hassner CNN (single crop, caffe)Accuracy (5-fold)85.9Unverified
9LMTCNN-2-1 (single crop, tensorflow)Accuracy (5-fold)85.16Unverified
10Levi_Hassner CNN (single crop, tensorflow)Accuracy (5-fold)82.52Unverified